Building a novel machine learning solution.
The goal of the project is to build a machine learning solution to help us enrich data about companies. The expected result is a fully trained set of neural networks, capable of doing a multitude of tasks: company categorisation, news extraction, and company scoring.
The first part of the project is a tool which can take as input information about a company (such as its website, or a description), and automatically assign it one or more of our 800+ categories.
The second part of the project is a tool which takes as input a news item, and which can extract from its body information such as which company the news is about, whether the companies mentioned in the article have entered some kind of new relationship (e.g. a partnership, or an acquisition).
The last part of the project is a tool which is able to confer a scoring to a company, given all the data we have collected about that company. The scoring is intended to help our users better evaluate companies when interacting with the database.